Related Experiment Video
Updated: May 6, 2026
10:11
The Benthic Exchange of O2, N2 and Dissolved Nutrients Using Small Core Incubations
Published on: August 3, 2016
9.8K
Inferences based on diatom compositions improve estimates of nutrient concentrations in streams
Lester L Yuan1, Richard M Mitchell1, Erik M Pilgrim2
1Office of Water, U.S. Environmental Protection Agency, 1200 Pennsylvania Ave NW, Mail code 4304T, Washington, DC 20460, USA.
The Science of the Total Environment
|September 5, 2024
Summary
Diatom-inferred nutrient concentrations are more stable than direct measurements in flashy streams. This suggests using diatoms can improve nutrient monitoring, especially in variable flow conditions.
Area of Science:
- Environmental Science
- Ecology
- Paleolimnology
Background:
- Stream nutrient concentrations fluctuate significantly with flow variability.
- Diatom assemblages integrate environmental conditions over time, potentially buffering short-term flow changes.
- Previous studies have used diatoms to infer past nutrient levels.
Purpose of the Study:
- To compare the variability of direct nutrient measurements versus diatom-inferred nutrient concentrations in streams with different flow flashiness.
- To determine if landscape-nutrient models perform consistently across flashy and non-flashy streams.
- To assess the utility of diatom-inferred nutrients for more robust stream monitoring.
Main Methods:
- Analyzed a continental dataset of stream water chemistry and diatoms.
- Compared variability of measured and diatom-inferred dissolved phosphorus and nitrate in flashy vs. non-flashy streams.
- Developed and compared landscape-nutrient models for different stream types.
Main Results:
- Measured nutrient concentrations were more variable in flashy streams.
- Landscape models identified different predictors for nutrients in flashy vs. non-flashy streams.
- Variability of diatom-inferred nutrients and key landscape predictors were consistent across stream types.
Conclusions:
- Diatom-inferred nutrient concentrations exhibit less variability in flashy streams compared to direct measurements.
- Diatom-based inference offers a potentially more stable and reliable method for assessing stream nutrient status.
- This approach can enhance the accuracy of nutrient monitoring and management strategies.
Related Concept Videos
01:30Marine Microbial Ecology
74
Marine microbial ecosystems are shaped by distinct physicochemical limits, including high salinity, low nutrient availability, and fluctuating oxygen levels. These conditions favor smaller microbial cell sizes, which maximize their surface-to-volume ratio for efficient nutrient uptake.Microbial activity and community composition are closely linked to biogeochemical cycles, particularly in dynamic environments like estuaries, where halotolerant microbes thrive in response to variable salinity...
74
01:24Freshwater Microbial Ecology
67
Freshwater systems such as streams, rivers, and lakes exhibit distinct physical and biological characteristics that influence their microbial communities. These environments are broadly categorized into lotic systems—those with flowing waters like streams and most rivers—and lentic systems, which include still or slow-moving waters such as lakes, ponds, and marshes.In lentic systems, phytoplankton drive primary production, generating autochthonous organic carbon. In contrast, lotic...
67